In recent years, generative art have become popular and used as motion graphics in many video contents including digital signage and projection mapping. However, combining generative art and 2D hand-drawn animation is not well discussed. In this paper, we propose a method for generating cloth-shaped generative art. Our system generates particles inside the region defined by manually tracing rough sketches and draw them in random colors. We also composed a short original animation work from generated image sequences and a hand-drawn images.
Generative art is a work of art created by computer’s autonomous calculation. Many works have been created by calculating complex equations for fractals and physical behaviors with a computer. In this study, we attempt to apply a phenomenon called photoelasticity to generative art. Photoelasticity is the phenomenon that the state of birefringence changes when stress is applied, and interference fringes appear when irradiated with polarized light. We propose a new method of generative art to colorize the image automatically by setting the stress virtually from the input image and generating the interference fringe using the two dimensional photoelasticity theory.
If fog occurs in urban areas, it would cause a big troubles on our lives. In order to avoid such situations, a system which predicts the occurrence of fog is needed. It is also needed to visualize the prediction of fog by using 3DCG technology. In this report, we propose and develop a prototype system which predicts the occurrence of radiation mist due to radiative cooling in urban areas based on a 3D cellular automata (a voxel automata), and visualize its prediction results.
Impossible figures are figures which looks realize at first glance, but are not actually realizable as perceived by the human eyes. In the conventional method, animations of impossible figures had been drawn by orthographic projection to maintain its illusion state. However, perspective projection is need to photo-realistic graphics. We proposed a method for animating impossible figures in perspective projection, and a method for applying it to a stereoscopic viewing environment. In addition, we implemented and evaluated using virtual reality using the method and examined the validity of the method.
In this paper, we propose a color scheme simulation system for idol characters based on song impression. A total of 230 coloring information was extracted from character images and 50 color schemes of character group were classified into 3 types. The impressions of songs related to the characters were obtained by questionnaire. The user can search coloring templates from the impression terms and coloring types. Experimental results show that our system is useful for designing color schemes for character groups.